US 12,190,592 B2
Fish measurement station keeping
Joel Fraser Atwater, Danville, CA (US); Barnaby John James, Campbell, CA (US); and Matthew William Messana, Sunnyvale, CA (US)
Assigned to TidalX AI Inc., Mountain View, CA (US)
Filed by TidalX AI Inc., San Ramon, CA (US)
Filed on May 10, 2023, as Appl. No. 18/315,408.
Application 18/315,408 is a continuation of application No. 17/391,392, filed on Aug. 2, 2021.
Application 17/391,392 is a continuation of application No. 16/701,853, filed on Dec. 3, 2019, granted, now 11,113,539, issued on Sep. 7, 2021.
Application 16/701,853 is a continuation of application No. 15/970,131, filed on May 3, 2018, granted, now 10,534,967, issued on Jan. 14, 2020.
Prior Publication US 2023/0368538 A1, Nov. 16, 2023
Int. Cl. G06V 20/52 (2022.01); A01K 61/10 (2017.01); A01K 61/95 (2017.01); G06T 7/20 (2017.01); H04N 23/667 (2023.01)
CPC G06V 20/52 (2022.01) [A01K 61/10 (2017.01); A01K 61/95 (2017.01); G06T 7/20 (2013.01); H04N 23/667 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving information indicative of a particular type of fish activity, selected from among multiple types of fish activity, for which pictures are to be obtained;
providing information indicative of the particular type of fish activity, selected from among the multiple types of fish activity, to a machine-learning model that is trained to output, for a given type of fish activity and a set of one or more input parameters, a set of output parameters for obtaining pictures of fish engaging in the given fish activity within a fish pen;
obtaining, from the model, a particular set of output parameters; and
configuring one or more underwater cameras based on the particular set of output parameters.